Perbedaan Pengetahuan Dan Sikap Deteksi Dini Diabetes Melitus Sebelum Dan Sesudah Diberikan Promosi Kesehatan Di Wilayah Kerja Puskesmas Pasar Rebo
Bibliographic record
Abstract
Latar belakang: Diabetes Melitus merupakan suatu kondisi kronis yang terjadi ketika ada peningkatan kadar glukosa dalam darah karena tubuh tidak dapat menghasilkan hormon insulin yang cukup atau menggunakan insulin secara efektif. Diabetes Melitus dapat dicegah dengan Deteksi Dini Diabetes Melitus. Studi pendahuluan di wilayah kerja Puskesmas Pasar Rebo diperoleh masih rendahnya pengetahuan masyarakat tentang Diabetes Melitus dan presepsi yang salah tentang tanda- tanda awal Diabetes Melitus. Tujuan penelitian untuk melihat perbedaan pengetahuan dan sikap tentang Deteksi Dini Diabetes Melitus sebelum dan sesudah diberikan promosi kesehatan di wilayah kerja Puskesmas Pasar Rebo. Metode: Desain penelitian menggunakan desain pre experiment dengan rancangan one group pretest posttest. Sampel pada penelitian sebanyak 42 sampel dan menggunakan instrumen berupa kuesioner mengenai pengetahuan dan sikap tentang Deteksi Dini Diabetes Melitus. Media yang digunakan adalah powerpoint dan leaflet. Analisis data menggunakan Uji Wilcoxon. Hasil: Hasil penelitian diketahui p-value pengetahuan sebelum dan sesudah diberikan promosi kesehatan 0,000 ( < 0,05). Dan p-value sikap sebelum dan sesudah diberikan promosi kesehatan 0,000 ( < 0,05). Kesimpulan: Terdapat perbedaan pengetahuan dan sikap tentang Deteksi Dini Diabetes Melitus sebelum dan sesudah diberikan promosi kesehatan di wilayah kerja Puskesmas Pasar Rebo. Saran peneliti yaitu promosi kesehatan tentang Deteksi Dini Diabetes Melitus perlu dilakukan pada masyarakat yang berisiko. Kata Kunci: Deteksi Dini, Diabetes Melitus, Promosi Kesehatan Pre-post Health Promotion to Knowledge ad Attitude in Diabetes Melitus Early Detection in Pasar Rebo Health Center Abstract Background: Diabetes Melitus is one of the problems that occurs when there is an increase in insulin levels in the body that cannot produce enough insulin or use insulin effectively. Diabetes Melitus can be prevented by Early Detection of Diabetes Melitus. A preliminary study in the work area of Pasar Rebo Health Center found that there was still a low level of public knowledge about Diabetes Melitus and a wrong perception about the early signs of Diabetes Melitus. The purpose of the study was to see differences in knowledge and attitudes about Early Detection of Diabetes Melitus before and after being given health promotion in the work area of Pasar Rebo Health Center. Methods: The study design used a pre-experimental design by designing one group of posttest pretest. The samples in the study were 42 samples and used an instrument containing a questionnaire about the knowledge and attitudes about Early Detection of Diabetes Melitus. The media used are powerpoint and leaflets. Data analysis using the Wilcoxon Test. Result: The results of the study revealed p-value knowledge before and after being given a health promotion was 0,000 (<0.05). And the p-value attitude before and after being given a health promotion was 0,000 (<0.05). Conclusion: There are differences in knowledge and attitudes about Early Detection of Diabetes Mellitus before and after being given health promotion in the work area of Pasar Rebo Health Center. Researcher's suggestion is that health promotion about Early Detection of Diabetes Mellitus is necessary for people at risk. Keywords: Early Detection, Diabetes Melitus, Health Promotion
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".